Triple
T8604330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castro Verde |
E203759
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Entradas
Entradas is a civil parish in the municipality of Castro Verde in Portugal’s Alentejo region, known for its rural landscape and traditional agricultural activities.
|
E744936
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Entradas | Statement: [Castro Verde, hasParish, Entradas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Entradas Context triple: [Castro Verde, hasParish, Entradas]
-
A.
Entrez
Entrez is an integrated, text-based search and retrieval system developed by the NCBI for accessing a wide range of biomedical and genomic databases.
-
B.
La Entrada
La Entrada is a town in western Honduras that serves as a commercial gateway to the archaeological region of Copán.
-
C.
Pasajes
Pasajes is a coastal town and port in the province of Gipuzkoa in Spain’s Basque Country, known for its historic maritime activity and picturesque harbor.
-
D.
Blocks
Blocks is a Python deep learning framework built on top of Theano that provides modular, reusable components for constructing and training neural networks.
-
E.
Turnstiles
Turnstiles is a 1976 studio album by Billy Joel that marked his return to New York and features songs reflecting urban life and personal transition.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Entradas Triple: [Castro Verde, hasParish, Entradas]
Generated description
Entradas is a civil parish in the municipality of Castro Verde in Portugal’s Alentejo region, known for its rural landscape and traditional agricultural activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Entradas Target entity description: Entradas is a civil parish in the municipality of Castro Verde in Portugal’s Alentejo region, known for its rural landscape and traditional agricultural activities.
-
A.
Entrez
Entrez is an integrated, text-based search and retrieval system developed by the NCBI for accessing a wide range of biomedical and genomic databases.
-
B.
La Entrada
La Entrada is a town in western Honduras that serves as a commercial gateway to the archaeological region of Copán.
-
C.
Pasajes
Pasajes is a coastal town and port in the province of Gipuzkoa in Spain’s Basque Country, known for its historic maritime activity and picturesque harbor.
-
D.
Blocks
Blocks is a Python deep learning framework built on top of Theano that provides modular, reusable components for constructing and training neural networks.
-
E.
Turnstiles
Turnstiles is a 1976 studio album by Billy Joel that marked his return to New York and features songs reflecting urban life and personal transition.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46dd8ff8819081ef269192047488 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8f8dfa4819080c8ed475a84be41 |
completed | April 2, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69cea9d0dad0819095134f6f8cafb4c0 |
completed | April 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaa7025388190a3f17aca46d4858e |
completed | April 2, 2026, 5:42 p.m. |
Created at: March 30, 2026, 6:24 p.m.