Triple
T1248285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martyrs’ Square |
E26816
|
entity |
| Predicate | wasMajorAxisOf |
P19496
|
FINISHED |
| Object | Beirut’s pre-war city center |
—
|
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: Beirut’s pre-war city center | Statement: [Martyrs’ Square, wasMajorAxisOf, Beirut’s pre-war city center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasMajorAxisOf Context triple: [Martyrs’ Square, wasMajorAxisOf, Beirut’s pre-war city center]
-
A.
semiMajorAxis
Indicates the length of the longest radius of an elliptical orbit, measuring the average distance between the orbiting body and the central body.
-
B.
isMajor
Indicates that an entity holds primary or greater significance, importance, or rank relative to others in a given context.
-
C.
dominantOn
Indicates that one entity exerts control, authority, or prevailing influence over another in a given context.
-
D.
isMajorFormation
Indicates that something constitutes a primary or principal structural unit or phase within a larger system, sequence, or process.
-
E.
primaryAxisFormation
chosen
Indicates the process or relationship by which the main structural or organizational axis of a system, body, or object is established or developed.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf827e088190a16d845cea14f2c9 |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6b075881908e867c25b5080e25 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.