Triple
T19269786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Capiz |
E481890
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Panitan
Panitan is a municipality in the Philippine province of Capiz, known for its predominantly rural communities and agriculture-based local economy.
|
E1368249
|
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: Panitan | Statement: [Province of Capiz, hasMunicipality, Panitan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panitan Context triple: [Province of Capiz, hasMunicipality, Panitan]
-
A.
Pototan
Pototan is a first-class municipality in the Philippine province of Iloilo, known for its agricultural economy and its popular Christmas lights festival.
-
B.
Panyam
Panyam is a legislative assembly constituency in the Nandyal district of Andhra Pradesh, India.
-
C.
Panadtaran
Panadtaran is a barangay (village-level administrative division) of the municipality of Argao in Cebu, Philippines.
-
D.
Pintuyan
Pintuyan is a coastal municipality in the province of Southern Leyte in the Philippines, known for its marine biodiversity and whale shark watching.
-
E.
Punakapina
Punakapina is the Finnish Civil War of 1918, a conflict between the socialist Reds and conservative Whites that shaped Finland’s early independence.
- 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: Panitan Triple: [Province of Capiz, hasMunicipality, Panitan]
Generated description
Panitan is a municipality in the Philippine province of Capiz, known for its predominantly rural communities and agriculture-based local economy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Panitan Target entity description: Panitan is a municipality in the Philippine province of Capiz, known for its predominantly rural communities and agriculture-based local economy.
-
A.
Pototan
Pototan is a first-class municipality in the Philippine province of Iloilo, known for its agricultural economy and its popular Christmas lights festival.
-
B.
Panyam
Panyam is a legislative assembly constituency in the Nandyal district of Andhra Pradesh, India.
-
C.
Panadtaran
Panadtaran is a barangay (village-level administrative division) of the municipality of Argao in Cebu, Philippines.
-
D.
Pintuyan
Pintuyan is a coastal municipality in the province of Southern Leyte in the Philippines, known for its marine biodiversity and whale shark watching.
-
E.
Punakapina
Punakapina is the Finnish Civil War of 1918, a conflict between the socialist Reds and conservative Whites that shaped Finland’s early independence.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbb74ec48190a58d96b4b5b9af00 |
completed | April 20, 2026, 10:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e70bf7881909674b254e7968b55 |
completed | May 15, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a070f8b626c819083a31123cd6035cf |
completed | May 15, 2026, 12:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071018f61881908ace460b83dac186 |
completed | May 15, 2026, 12:22 p.m. |
Created at: April 10, 2026, 1:29 p.m.