Triple
T3770835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pampanga |
E83192
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Arayat
Arayat is a municipality in the Philippine province of Pampanga, known for the prominent Mount Arayat and its surrounding agricultural landscape.
|
E386367
|
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: Arayat | Statement: [Pampanga, hasMunicipality, Arayat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arayat Context triple: [Pampanga, hasMunicipality, Arayat]
-
A.
Arraiolos
Arraiolos is a Portuguese town renowned for its traditional hand-embroidered wool rugs and historic hilltop castle.
-
B.
Andújar
Andújar is a historic town in the province of Jaén, Andalusia, Spain, known for its olive oil production and its location near the Sierra de Andújar Natural Park.
-
C.
Aguadas
Aguadas is a historic Colombian town in the Caldas Department, known for its coffee culture, traditional hat-making, and well-preserved colonial architecture.
-
D.
Atienza
Atienza is a historic hilltop town in central Spain known for its medieval castle, Romanesque churches, and well-preserved old quarter.
-
E.
Alajeró
Alajeró is a small coastal and rural municipality on the island of La Gomera in Spain’s Canary Islands, known for its rugged landscapes and traditional Canarian character.
- 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: Arayat Triple: [Pampanga, hasMunicipality, Arayat]
Generated description
Arayat is a municipality in the Philippine province of Pampanga, known for the prominent Mount Arayat and its surrounding agricultural landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arayat Target entity description: Arayat is a municipality in the Philippine province of Pampanga, known for the prominent Mount Arayat and its surrounding agricultural landscape.
-
A.
Arraiolos
Arraiolos is a Portuguese town renowned for its traditional hand-embroidered wool rugs and historic hilltop castle.
-
B.
Andújar
Andújar is a historic town in the province of Jaén, Andalusia, Spain, known for its olive oil production and its location near the Sierra de Andújar Natural Park.
-
C.
Aguadas
Aguadas is a historic Colombian town in the Caldas Department, known for its coffee culture, traditional hat-making, and well-preserved colonial architecture.
-
D.
Atienza
Atienza is a historic hilltop town in central Spain known for its medieval castle, Romanesque churches, and well-preserved old quarter.
-
E.
Alajeró
Alajeró is a small coastal and rural municipality on the island of La Gomera in Spain’s Canary Islands, known for its rugged landscapes and traditional Canarian character.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc307cf8819090730b5e697bb197 |
completed | March 8, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5287908819084319b8dfa407635 |
completed | March 14, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69b4e61c8dc881908e298528b1e42c0c |
completed | March 14, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4e686bf2c8190aac01d6c1014c1d4 |
completed | March 14, 2026, 4:39 a.m. |
Created at: March 8, 2026, 3:36 p.m.