Triple
T15282733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shah |
E365310
|
entity |
| Predicate | hasPluralForm |
P5088
|
FINISHED |
| Object | Shahs |
E365310
|
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: Shahs | Statement: [Shah, hasPluralForm, Shahs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shahs Context triple: [Shah, hasPluralForm, Shahs]
-
A.
Shaheens
Shaheens is the popular nickname for the Pakistan national cricket team, evoking the image of a fierce and soaring falcon.
-
B.
Sheiks
Sheiks is the nickname of the athletic teams representing Hollywood High School in Los Angeles, California.
-
C.
Shah
chosen
Shah is a royal title historically used for monarchs and rulers in Persia (Iran) and other regions of the Islamic world.
-
D.
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.
-
E.
Shahi
Shahi is a surname of Persian origin most notably borne by American actress Sarah Shahi.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e51f82081909f63d14b589d5587 |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef773bc4819083c9a86543659aa9 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.