Triple
T17767423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sigüenza |
E443543
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Mojares
Mojares is a small locality or village that forms part of the municipality of Sigüenza in the province of Guadalajara, Spain.
|
E1286803
|
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: Mojares | Statement: [Sigüenza, hasSubdivision, Mojares]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mojares Context triple: [Sigüenza, hasSubdivision, Mojares]
-
A.
Noli
Noli is a historic coastal town and former maritime republic on the Italian Riviera in the Ligurian region of northwestern Italy.
-
B.
Zaijian Jaranilla
Zaijian Jaranilla is a Filipino actor best known for his acclaimed child roles in Philippine television dramas and films.
-
C.
Mankayan
Mankayan is a mining town and municipality in the province of Benguet in the Cordillera region of the northern Philippines, known for its rich copper and gold deposits.
-
D.
Bacoleña
Bacoleña is the Spanish-derived demonym referring to a female resident or native of Bacolor, a municipality in the Philippines.
-
E.
Ivasayen Ivatan
Ivasayen Ivatan is a variety of the Ivatan language spoken by the Ivatan people of the Batanes Islands in the northern Philippines.
- 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: Mojares Triple: [Sigüenza, hasSubdivision, Mojares]
Generated description
Mojares is a small locality or village that forms part of the municipality of Sigüenza in the province of Guadalajara, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mojares Target entity description: Mojares is a small locality or village that forms part of the municipality of Sigüenza in the province of Guadalajara, Spain.
-
A.
Noli
Noli is a historic coastal town and former maritime republic on the Italian Riviera in the Ligurian region of northwestern Italy.
-
B.
Zaijian Jaranilla
Zaijian Jaranilla is a Filipino actor best known for his acclaimed child roles in Philippine television dramas and films.
-
C.
Mankayan
Mankayan is a mining town and municipality in the province of Benguet in the Cordillera region of the northern Philippines, known for its rich copper and gold deposits.
-
D.
Bacoleña
Bacoleña is the Spanish-derived demonym referring to a female resident or native of Bacolor, a municipality in the Philippines.
-
E.
Ivasayen Ivatan
Ivasayen Ivatan is a variety of the Ivatan language spoken by the Ivatan people of the Batanes Islands in the northern Philippines.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fccb9881908923564bf319f3c1 |
completed | April 19, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02efc14808819099ecbb8a752aff24 |
completed | May 12, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_6a02f096fc648190a1ff19f2704a4cef |
completed | May 12, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f1d0a4708190bbf51356da7e965e |
completed | May 12, 2026, 9:24 a.m. |
Created at: April 10, 2026, 10:11 a.m.