Triple
T3068419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karbala |
E62160
|
entity |
| Predicate | distanceFromBaghdad_km |
P25492
|
FINISHED |
| Object | approximately 100 |
—
|
LITERAL 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: approximately 100 | Statement: [Karbala, distanceFromBaghdad_km, approximately 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBaghdad_km Context triple: [Karbala, distanceFromBaghdad_km, approximately 100]
-
A.
distanceFromBaghdad
chosen
Indicates the spatial distance between a given location or entity and the city of Baghdad.
-
B.
distanceFromBeirut
Indicates the measured spatial distance between a given entity’s location and the city of Beirut.
-
C.
distanceFromArafat
Indicates the spatial distance between a given entity and the location associated with Arafat.
-
D.
distanceToCairo_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Cairo.
-
E.
distanceFromJerusalem
Indicates the spatial distance between a given location and Jerusalem.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0ffcc208190962cc9edcbf43c31 |
completed | March 8, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.