Triple
T8548437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Laguna |
E202382
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Luisiana, Laguna
Luisiana, Laguna is a small upland municipality in the Philippines known for its cool climate, waterfalls, and agricultural landscapes within the province of Laguna.
|
E741346
|
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: Luisiana, Laguna | Statement: [Province of Laguna, hasMunicipality, Luisiana, Laguna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luisiana, Laguna Context triple: [Province of Laguna, hasMunicipality, Luisiana, Laguna]
-
A.
Lagunas
Lagunas is a municipality and town in the state of Jalisco, Mexico, known for its rural character and proximity to the Sierra de Amula region.
-
B.
Laguna
Laguna is a province in the Philippines known for its hot springs, lakeside towns around Laguna de Bay, and as the birthplace of national hero José Rizal.
-
C.
Laguna
Laguna is the internal codename Apple used for its early Macintosh Portable computer model.
-
D.
Espiritu Santo
Espiritu Santo is the largest island of Vanuatu, known for its lush rainforests, white-sand beaches, and significant World War II history.
-
E.
Luna, Louisiana
Luna, Louisiana is a small unincorporated community located in Ouachita Parish in the northern part of the state.
- 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: Luisiana, Laguna Triple: [Province of Laguna, hasMunicipality, Luisiana, Laguna]
Generated description
Luisiana, Laguna is a small upland municipality in the Philippines known for its cool climate, waterfalls, and agricultural landscapes within the province of Laguna.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luisiana, Laguna Target entity description: Luisiana, Laguna is a small upland municipality in the Philippines known for its cool climate, waterfalls, and agricultural landscapes within the province of Laguna.
-
A.
Lagunas
Lagunas is a municipality and town in the state of Jalisco, Mexico, known for its rural character and proximity to the Sierra de Amula region.
-
B.
Laguna
Laguna is a province in the Philippines known for its hot springs, lakeside towns around Laguna de Bay, and as the birthplace of national hero José Rizal.
-
C.
Laguna
Laguna is the internal codename Apple used for its early Macintosh Portable computer model.
-
D.
Espiritu Santo
Espiritu Santo is the largest island of Vanuatu, known for its lush rainforests, white-sand beaches, and significant World War II history.
-
E.
Luna, Louisiana
Luna, Louisiana is a small unincorporated community located in Ouachita Parish in the northern part of the state.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe7529b648190b4b1cf1cb8836546 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dc1bb5481909ddd3af564c24c0c |
completed | April 2, 2026, 1:23 p.m. |
| NEDg | Description generation | batch_69ce6ec3b080819082d64646d453541d |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fe928d48190824e7a94fea5cfc0 |
completed | April 2, 2026, 1:32 p.m. |
Created at: March 30, 2026, 6:19 p.m.