Triple
T3679233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yallahs River |
E78069
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Yallahs |
E67224
|
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: Yallahs | Statement: [Yallahs River, nearbySettlement, Yallahs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yallahs Context triple: [Yallahs River, nearbySettlement, Yallahs]
-
A.
Yallahs
chosen
Yallahs is a coastal town in southeastern Jamaica known for its proximity to Kingston and its role as a local commercial and residential center in St. Thomas Parish.
-
B.
Shalateen
Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
-
C.
Yalli
Yalli is a traditional Azerbaijani group folk dance characterized by dancers holding hands or shoulders and moving in synchronized circular or linear formations.
-
D.
Barcha
Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
-
E.
Laʼeeb
Laʼeeb is the animated, turban-like character that served as the official mascot of the 2022 FIFA World Cup in Qatar.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc49039308190b33082e2b58aa5cf |
completed | March 8, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3a9c6f48190a44b3b2dab37268d |
completed | March 14, 2026, 2:10 a.m. |
Created at: March 8, 2026, 3:25 p.m.