Triple
T12724239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abra |
E304062
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Pidigan
Pidigan is a municipality in the province of Abra in the Philippines, known for its rural communities and agricultural landscape.
|
E1000977
|
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: Pidigan | Statement: [Abra, hasMunicipality, Pidigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pidigan Context triple: [Abra, hasMunicipality, Pidigan]
-
A.
Adium
Adium is a free, open-source instant messaging client for macOS that supports multiple chat protocols through a unified interface.
-
B.
Thunar
Thunar is the lightweight, fast, and simple file manager designed for the Xfce desktop environment on Unix-like systems.
-
C.
Pluma text editor
Pluma text editor is a lightweight, user-friendly text editor commonly used in Linux environments as part of the MATE desktop ecosystem.
-
D.
Putty
Putty is a small rural locality in New South Wales, Australia, known for its forested landscapes and low-density population.
-
E.
Papago
Papago is an older name for the Tohono O'odham, a Native American people indigenous to the Sonoran Desert region of the southwestern United States and northern Mexico.
- 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: Pidigan Triple: [Abra, hasMunicipality, Pidigan]
Generated description
Pidigan is a municipality in the province of Abra in the Philippines, known for its rural communities and agricultural landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pidigan Target entity description: Pidigan is a municipality in the province of Abra in the Philippines, known for its rural communities and agricultural landscape.
-
A.
Adium
Adium is a free, open-source instant messaging client for macOS that supports multiple chat protocols through a unified interface.
-
B.
Thunar
Thunar is the lightweight, fast, and simple file manager designed for the Xfce desktop environment on Unix-like systems.
-
C.
Pluma text editor
Pluma text editor is a lightweight, user-friendly text editor commonly used in Linux environments as part of the MATE desktop ecosystem.
-
D.
Putty
Putty is a small rural locality in New South Wales, Australia, known for its forested landscapes and low-density population.
-
E.
Papago
Papago is an older name for the Tohono O'odham, a Native American people indigenous to the Sonoran Desert region of the southwestern United States and northern Mexico.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964148f988190a4d0e7b41614fa64 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c85c6b88190bbdd94a43915a7a4 |
completed | May 2, 2026, 10:36 p.m. |
| NEDg | Description generation | batch_69f67d888d7c8190b9aaeb877984a403 |
completed | May 2, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67e0f48e4819085905564f5540f37 |
completed | May 2, 2026, 10:43 p.m. |
Created at: April 9, 2026, 5:25 p.m.