Triple
T15806292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancowry Islands |
E383224
|
entity |
| Predicate | hasMajorSettlement |
P316
|
FINISHED |
| Object | Teressa |
E109218
|
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: Teressa | Statement: [Nancowry Islands, hasMajorSettlement, Teressa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teressa Context triple: [Nancowry Islands, hasMajorSettlement, Teressa]
-
A.
Teressa
chosen
Teressa is a Nicobarese language variety spoken by the indigenous community on Teressa Island in India’s Nicobar archipelago.
-
B.
Teresa
Teresa is the central protagonist of the play "The Memory of Water," around whom the story’s emotional and familial conflicts revolve.
-
C.
Teresa
Teresa is a central figure in Carlos Fuentes’s novel "The Death of Artemio Cruz," representing both a pivotal love interest and a symbol of the social and emotional conflicts surrounding the protagonist.
-
D.
Teresa
Teresa is a feminine given name commonly used in various cultures, often associated with notable religious and historical figures.
-
E.
Teresa
Teresa is a municipality in the province of Rizal in the Philippines, known for its residential communities and proximity to Metro Manila.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52682548190998d8b6a08982877 |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff998fa5588190b28efc2f342405aa |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:48 a.m.