Triple
T4935601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abimelech |
E110803
|
entity |
| Predicate | burned |
P60484
|
FINISHED |
| Object | tower of Shechem |
—
|
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: tower of Shechem | Statement: [Abimelech, burned, tower of Shechem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: burned Context triple: [Abimelech, burned, tower of Shechem]
-
A.
burningSince
Indicates that an object or substance has been continuously burning from a specified starting time up to the present or another reference time.
-
B.
burnType
Indicates the specific category or severity of a burn associated with an entity or event.
-
C.
bombed
Indicates that one entity attacked another using explosive weapons, causing or intending to cause destruction or damage.
-
D.
broken
Indicates that an entity is damaged or no longer functioning as intended, often as the result of some prior action or event.
-
E.
swallowed
Indicates that one entity caused another entity to pass from the mouth into the body, typically down the throat.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd706825188190b854dca5ca2f9db6 |
completed | March 20, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:30 p.m.