Triple
T11672848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hongren |
E277421
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Laoan |
E329508
|
NE FINISHED |
How this triple was built (2 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: Laoan | Statement: [Hongren, notableStudent, Laoan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laoan Context triple: [Hongren, notableStudent, Laoan]
-
A.
Lawai
Lawai is a small unincorporated community on the island of Kauai in Hawaii, known for its rural residential character and proximity to the island’s south shore attractions.
-
B.
Lambuyao
Lambuyao is a barangay (village-level administrative division) within the municipality of Oton in the province of Iloilo, Philippines.
-
C.
Sarangani
Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
-
D.
Laoang
chosen
Laoang is a coastal municipality in the province of Northern Samar in the Philippines, known for its island landscapes and fishing communities.
-
E.
Rangloi
Rangloi is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a443b6848190a1eb6825fbc49d08 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13e1b3d8819085ea806280ed69d3 |
completed | April 27, 2026, 7:44 a.m. |
Created at: April 8, 2026, 9:40 p.m.