Triple
T13978028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitnatkut |
E336235
|
entity |
| Predicate | numberOfEvacuatedSettlements |
P112026
|
FINISHED |
| Object | 21 in Gaza Strip |
—
|
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: 21 in Gaza Strip | Statement: [Hitnatkut, numberOfEvacuatedSettlements, 21 in Gaza Strip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEvacuatedSettlements Context triple: [Hitnatkut, numberOfEvacuatedSettlements, 21 in Gaza Strip]
-
A.
numberOfEvacuated
Indicates the total count of individuals who have been evacuated from a location or situation.
-
B.
evacuatedCity
Indicates that people or populations were removed from or left a city, typically due to danger or emergency conditions.
-
C.
numberOfTroopsEvacuated
Indicates the quantity of troops that have been removed from a location or situation and transported to safety.
-
D.
numberOfEvacuatedTonsOfCargo
Indicates the quantity of cargo, measured in tons, that has been evacuated from a location or situation.
-
E.
evacuatedBy
Indicates that an entity is removed or cleared from a place or situation through the action or assistance of another agent or process.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e9fc7248190a9f26e253286ac3c |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69de01ed2098819088ec45069f6f2609 |
completed | April 14, 2026, 8:59 a.m. |
Created at: April 9, 2026, 10:18 p.m.