Triple
T9422221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thout |
E227180
|
entity |
| Predicate | precedes |
P97
|
FINISHED |
| Object | Paopi |
E227181
|
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: Paopi | Statement: [Thout, precedes, Paopi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paopi Context triple: [Thout, precedes, Paopi]
-
A.
Paopi
chosen
Paopi is the second month of the Coptic calendar, corresponding roughly to October in the Gregorian calendar and associated with the season of Akhet (inundation).
-
B.
Papay
Papay is a small settlement on the Orkney island of Papa Westray in Scotland.
-
C.
Durio
Durio is a genus of tropical trees best known for producing durian, a large, spiky fruit famous for its strong odor and rich, custard-like flesh.
-
D.
Litchi
Litchi is a tropical fruit-bearing tree genus best known for producing sweet, aromatic lychee fruits with rough red skins and translucent white flesh.
-
E.
Pinaya
Pinaya is a small Bolivian village in the La Paz Department that serves as the traditional base and starting point for ascents of Mount Illimani.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd6c2651c48190808281779fab49df |
completed | April 1, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107d290148190855b8d50eb80c591 |
completed | April 4, 2026, 12:45 p.m. |
Created at: March 30, 2026, 7:48 p.m.