Triple
T14584366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catanduanes |
E342274
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Pandan
Pandan is a coastal municipality in the province of Catanduanes in the Philippines, known for its rural communities and access to the Pacific coastline.
|
E1108221
|
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: Pandan | Statement: [Catanduanes, hasMunicipality, Pandan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pandan Context triple: [Catanduanes, hasMunicipality, Pandan]
-
A.
Pambo
Pambo was an early Christian Desert Father and ascetic monk associated with the monastic community of Scetis in Egypt.
-
B.
Makuti
Makuti is a small settlement in northern Zimbabwe that serves as a key junction and rest stop on the main road between Harare, Kariba, and Chirundu.
-
C.
Mangum
Mangum is a surname of English origin borne by various notable individuals, including American politician Willie Person Mangum.
-
D.
Kempas
Kempas is a suburban area and residential township located within the Johor Bahru region of Johor, Malaysia.
-
E.
Salaparuta
Salaparuta is a small Sicilian town in western Italy, known for its wine production and its post-earthquake reconstruction after the 1968 Belice earthquake.
- 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: Pandan Triple: [Catanduanes, hasMunicipality, Pandan]
Generated description
Pandan is a coastal municipality in the province of Catanduanes in the Philippines, known for its rural communities and access to the Pacific coastline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pandan Target entity description: Pandan is a coastal municipality in the province of Catanduanes in the Philippines, known for its rural communities and access to the Pacific coastline.
-
A.
Pambo
Pambo was an early Christian Desert Father and ascetic monk associated with the monastic community of Scetis in Egypt.
-
B.
Makuti
Makuti is a small settlement in northern Zimbabwe that serves as a key junction and rest stop on the main road between Harare, Kariba, and Chirundu.
-
C.
Mangum
Mangum is a surname of English origin borne by various notable individuals, including American politician Willie Person Mangum.
-
D.
Kempas
Kempas is a suburban area and residential township located within the Johor Bahru region of Johor, Malaysia.
-
E.
Salaparuta
Salaparuta is a small Sicilian town in western Italy, known for its wine production and its post-earthquake reconstruction after the 1968 Belice earthquake.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4209b988190ad2a7b2dead8ffed |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94bbe6208190af9cd131c147e321 |
completed | May 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69fd984e0e6c819089d967234c5245ee |
completed | May 8, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd98cf0bcc81909dac826a32daaf04 |
completed | May 8, 2026, 8:03 a.m. |
Created at: April 10, 2026, 1:24 a.m.