Triple
T16751298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Sisters |
E407086
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Meehni |
E359431
|
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: Meehni | Statement: [Three Sisters, hasPart, Meehni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meehni Context triple: [Three Sisters, hasPart, Meehni]
-
A.
Meehni
chosen
Meehni is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
-
B.
Mehunaise
Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
-
C.
Loghoma
Loghoma is an alternative name for the Loma people, an ethnic group primarily found in Liberia and neighboring West African regions.
-
D.
Memeza
Memeza is a hugely popular 1997 Afro-pop album by South African singer Brenda Fassie, known for its powerful vocals and socially conscious themes.
-
E.
Kousba
Kousba is a town in northern Lebanon located in the Koura District, known for its olive groves and traditional Lebanese rural character.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa271de48190b4a535408aeef734 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52402848190b029cb0be31b4c74 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.