Triple
T26756814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | صخرة الحمام |
E674693
|
entity |
| Predicate | مقابل |
P34818
|
FINISHED |
| Object | ساحل بيروت الغربي |
—
|
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: ساحل بيروت الغربي | Statement: [صخرة الحمام, مقابل, ساحل بيروت الغربي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مقابل Context triple: [صخرة الحمام, مقابل, ساحل بيروت الغربي]
-
A.
antagonistOf
Indicates a relationship where one entity actively opposes, conflicts with, or serves as an adversary to another.
-
B.
opposingForce
Indicates a relationship where one entity actively resists, counters, or works against the actions, goals, or influence of another entity.
-
C.
counterplay
Indicates a responsive action or strategy taken to oppose, mitigate, or neutralize another party’s move or advantage.
-
D.
opposite
chosen
Indicates that one entity is positioned or oriented directly across from, or in a contrary or reverse relation to, another entity.
-
E.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f618d5fdd081908e5cad0c64a2e6c9 |
completed | May 2, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:56 a.m.