Triple
T32790684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black September Organization |
E838616
|
entity |
| Predicate | usedSafeHousesIn |
P175121
|
FINISHED |
| Object | Lebanon |
—
|
NE NERFINISHED |
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: Lebanon | Statement: [Black September Organization, usedSafeHousesIn, Lebanon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedSafeHousesIn Context triple: [Black September Organization, usedSafeHousesIn, Lebanon]
-
A.
usedByHouse
Indicates that something is utilized or employed by a particular house.
-
B.
usedToHouse
Indicates that something previously served as a dwelling or shelter for someone or something, but no longer does so.
-
C.
usesDwelling
Indicates that an entity occupies or makes use of a particular dwelling as a place of residence or activity.
-
D.
usedAsHomeFrom
Indicates that something served as a home or dwelling for a specified entity starting from a particular point in time.
-
E.
victimHouse
Indicates that a particular house is the residence or location associated with the victim in an incident or event.
- 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_69f3493c7f6881908edf2aa13631d1e0 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6ce6c76bc8190b865343d3f5810c9 |
completed | May 3, 2026, 4:26 a.m. |
Created at: May 1, 2026, 1:14 a.m.