Triple
T14974308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Palencia |
E373403
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Baltanás
Baltanás is a small municipality in northern Spain known for its traditional Castilian architecture and rural agricultural character.
|
E1130365
|
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: Baltanás | Statement: [Province of Palencia, contains, Baltanás]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baltanás Context triple: [Province of Palencia, contains, Baltanás]
-
A.
Dobogó
Dobogó is a neighborhood within Budapest’s 11th District, known primarily as an emerging urban area undergoing development on the city’s Buda side.
-
B.
Balzar
Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
-
C.
Gárdony
Gárdony is a Hungarian town and popular resort area on the southern shore of Lake Velence, known for its beaches, thermal waters, and recreational tourism.
-
D.
Baltal
Baltal is a small valley and campsite in Jammu and Kashmir, India, that serves as a major base camp and access point for pilgrims traveling to the Amarnath Cave Temple.
-
E.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
- 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: Baltanás Triple: [Province of Palencia, contains, Baltanás]
Generated description
Baltanás is a small municipality in northern Spain known for its traditional Castilian architecture and rural agricultural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baltanás Target entity description: Baltanás is a small municipality in northern Spain known for its traditional Castilian architecture and rural agricultural character.
-
A.
Dobogó
Dobogó is a neighborhood within Budapest’s 11th District, known primarily as an emerging urban area undergoing development on the city’s Buda side.
-
B.
Balzar
Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
-
C.
Gárdony
Gárdony is a Hungarian town and popular resort area on the southern shore of Lake Velence, known for its beaches, thermal waters, and recreational tourism.
-
D.
Baltal
Baltal is a small valley and campsite in Jammu and Kashmir, India, that serves as a major base camp and access point for pilgrims traveling to the Amarnath Cave Temple.
-
E.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e8733081908e06b53746eb6eb6 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8beac05c8190bf19ec8bd1eab2d8 |
completed | May 9, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69fe8fcc19e08190a0d11c8310b8625f |
completed | May 9, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe91a86ae881908b492a4f255866b9 |
completed | May 9, 2026, 1:45 a.m. |
Created at: April 10, 2026, 2:51 a.m.