Triple
T21557920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chtaura |
E531940
|
entity |
| Predicate | distanceFromDamascus_km |
P138520
|
FINISHED |
| Object | approximately 75 |
—
|
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 75 | Statement: [Chtaura, distanceFromDamascus_km, approximately 75]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromDamascus_km Context triple: [Chtaura, distanceFromDamascus_km, approximately 75]
-
A.
distanceFromDamascus
chosen
Indicates the measured distance between a given location and the city of Damascus.
-
B.
distanceFromBeirut
Indicates the measured spatial distance between a given entity’s location and the city of Beirut.
-
C.
distanceFromSyriaBorder
Indicates the measured spatial separation between a location and the nearest point on Syria’s national border.
-
D.
distanceFromBaghdad
Indicates the spatial distance between a given location or entity and the city of Baghdad.
-
E.
distanceToAleppo
Indicates the spatial distance between a given entity and the location of Aleppo.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e14af88190bc70b4d0f3453aac |
completed | April 27, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69e6320766308190ba5dca2f7c826aa4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:29 p.m.