Triple
T2707759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Lebanon |
E59382
|
entity |
| Predicate | governorateEstablished |
P42468
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Mount Lebanon, governorateEstablished, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governorateEstablished Context triple: [Mount Lebanon, governorateEstablished, 1990s]
-
A.
governorateOf
Indicates that one entity is the governorate (administrative region) to which another entity belongs or is located within.
-
B.
governorateCapitalStatusSince
Indicates the point in time since which a particular place has held the status of being the capital of a governorate.
-
C.
governorateCapitalUntil
Indicates that one location served as the capital of a governorate up to (but not beyond) a specified point in time.
-
D.
governorBasedIn
Indicates that a governor carries out their official duties or has their primary office located in a specified place.
-
E.
currentGovernorStartDate
Indicates the date on which the entity’s current governorship officially began.
- F. None of above. chosen
Provenance (4 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda73de1c81908f5d6b0383e23144 |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd8224c688190bb4a362360b03007 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8abcc348190bfa05c0abc4bcee7 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:55 p.m.