Triple
T32756068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imam of Yemen |
E837623
|
entity |
| Predicate | capitalAtTimes |
P20655
|
FINISHED |
| Object | Sana'a |
—
|
NE NERFINISHED |
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: Sana'a | Statement: [Imam of Yemen, capitalAtTimes, Sana'a]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalAtTimes Context triple: [Imam of Yemen, capitalAtTimes, Sana'a]
-
A.
capitalFromYear
Indicates that a location serves as the capital of a political or administrative entity starting from a specified year.
-
B.
capitalDuringExistence
Indicates that a specified place served as the capital of an entity for some or all of the time that entity existed.
-
C.
capitalDuringEra
Indicates that a city or settlement served as the capital of a political entity during a specified historical era or time period.
-
D.
capitalSince
Indicates that an entity has served as the capital of another entity starting from a specified point in time.
-
E.
timeAsCapital
chosen
Indicates the period during which a particular city served as the capital of a political entity.
- F. None of above.
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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: May 1, 2026, 1:12 a.m.