Triple
T8079226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batangas |
E188572
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Lemery
Lemery is a coastal municipality in the province of Batangas in the Philippines, known for its commercial activity and proximity to Taal Lake and Volcano.
|
E710438
|
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: Lemery | Statement: [Batangas, hasMunicipality, Lemery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lemery Context triple: [Batangas, hasMunicipality, Lemery]
-
A.
Lemerig
Lemerig is an endangered Oceanic language spoken by a small community on the island of Vanua Lava in northern Vanuatu.
-
B.
Lechmere
Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
-
C.
Nantz
Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
-
D.
Taconnaz
Taconnaz is a locality in the Chamonix valley of the French Alps, known for giving its name to the nearby Glacier de Taconnaz.
-
E.
Levasy
Levasy is a small city located in Jackson County in the U.S. state of Missouri.
- 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: Lemery Triple: [Batangas, hasMunicipality, Lemery]
Generated description
Lemery is a coastal municipality in the province of Batangas in the Philippines, known for its commercial activity and proximity to Taal Lake and Volcano.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lemery Target entity description: Lemery is a coastal municipality in the province of Batangas in the Philippines, known for its commercial activity and proximity to Taal Lake and Volcano.
-
A.
Lemerig
Lemerig is an endangered Oceanic language spoken by a small community on the island of Vanua Lava in northern Vanuatu.
-
B.
Lechmere
Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
-
C.
Nantz
Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
-
D.
Taconnaz
Taconnaz is a locality in the Chamonix valley of the French Alps, known for giving its name to the nearby Glacier de Taconnaz.
-
E.
Levasy
Levasy is a small city located in Jackson County in the U.S. state of Missouri.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a3f01c819096a2c9d5d5199fe6 |
completed | March 31, 2026, 3:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63f79ac08190af49e77bee67921d |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc651d340c819089306bac7110f57a |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc666ecc04819092ee4cc035dde627 |
completed | April 1, 2026, 12:27 a.m. |
Created at: March 30, 2026, 5:28 p.m.