Triple
T15234112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yafa Sultanate |
E364078
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Yafa (town) |
E1085225
|
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: Yafa (town) | Statement: [Yafa Sultanate, hasCapital, Yafa (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yafa (town) Context triple: [Yafa Sultanate, hasCapital, Yafa (town)]
-
A.
Yafaʿ district
Yafaʿ district is an administrative region in Yemen known as the traditional homeland of the Yafaʿ tribal communities.
-
B.
Yafa
chosen
Yafa is a historical region and tribal area in southern Yemen, known for its mountainous terrain and distinct cultural identity.
-
C.
Faraya village
Faraya village is a popular Lebanese mountain resort town known for its proximity to major ski slopes and vibrant winter tourism.
-
D.
Saifi Village
Saifi Village is a stylish, upscale neighborhood in central Beirut known for its art galleries, designer boutiques, and renovated traditional architecture.
-
E.
Zafaraniyeh
Zafaraniyeh is an affluent residential neighborhood in northern Tehran, Iran, known for its upscale homes and proximity to the Alborz mountains.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007d7237081908dc17900ee66b64f |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd3dd5a081909a1a7fceda648c29 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:12 a.m.