Triple
T26326915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qassam rockets |
E662276
|
entity |
| Predicate | usedFromLocation |
P168570
|
FINISHED |
| Object | Gaza Strip |
—
|
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: Gaza Strip | Statement: [Qassam rockets, usedFromLocation, Gaza Strip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedFromLocation Context triple: [Qassam rockets, usedFromLocation, Gaza Strip]
-
A.
usedAsLocationIn
Indicates that something serves as the setting or place where another event, action, or situation occurs.
-
B.
introducedFromLocation
Indicates that something or someone was brought, initiated, or first made present starting from a specified location.
-
C.
usedFromApprox
Indicates that something has been used starting from an approximate point in time or condition, rather than from a precisely defined one.
-
D.
usedAt
Indicates that something is employed, applied, or utilized at a particular place, time, or context.
-
E.
retrievedFromLocation
Indicates that an entity was obtained, collected, or taken from a specified location.
- 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_69ee812f32748190871d970c4e2a8ddf |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 26, 2026, 10:31 p.m.