Triple
T33706217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghiyas-ud-Din Pir Ali |
E863597
|
entity |
| Predicate | placeInPresentDay |
P72329
|
FINISHED |
| Object | Afghanistan |
—
|
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: Afghanistan | Statement: [Ghiyas-ud-Din Pir Ali, placeInPresentDay, Afghanistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeInPresentDay Context triple: [Ghiyas-ud-Din Pir Ali, placeInPresentDay, Afghanistan]
-
A.
partOfPresentDay
Indicates that one entity is a component, region, or subset of what constitutes the other entity in its current, modern-day form.
-
B.
landedInPresentDay
Indicates that an entity arrived or came to rest in a location corresponding to where that place exists in the present day.
-
C.
traversesPresentDay
Indicates that one entity currently passes through, crosses, or extends across another entity in the present day.
-
D.
contemporaryPresenceIn
Indicates that an entity exists or is present in a particular place, context, or timeframe at the same time as another specified reference point or entity.
-
E.
tookPlaceInPresentDayCountry
chosen
Indicates that an event or occurrence happened within the geographic area of the country as it is defined in the present day.
- 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
Created at: May 1, 2026, 1:43 a.m.