Triple
T19783192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bislig Bay |
E475188
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Lianga Bay |
—
|
NE NERFINISHED |
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: Lianga Bay | Statement: [Bislig Bay, near, Lianga Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lianga Bay Context triple: [Bislig Bay, near, Lianga Bay]
-
A.
Lianga
chosen
Lianga is a coastal municipality in the province of Surigao del Sur in the Philippines, known for its fishing communities and scenic bays.
-
B.
Kavalan
Kavalan is an indigenous Austronesian language of Taiwan, traditionally spoken by the Kavalan people on the island’s northeastern coast.
-
C.
Maitai Bay
Maitai Bay is a scenic coastal settlement and popular beach destination on New Zealand’s Karikari Peninsula, known for its sheltered turquoise waters and camping areas.
-
D.
Tsang
Tsang is a Cantonese-derived romanization of the Chinese surname Zeng, commonly used in Hong Kong and among overseas Chinese communities.
-
E.
Sanlitun
Sanlitun is a popular commercial and nightlife area in Beijing known for its bars, shopping centers, and vibrant expatriate scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65385ee8081908d58cc3ff05b9b23 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.