Triple
T35413285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IDF Armored Corps |
E1023568
|
entity |
| Predicate | primaryTankModel |
P36834
|
FINISHED |
| Object | Merkava |
E290759
|
NE 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: Merkava | Statement: [IDF Armored Corps, primaryTankModel, Merkava]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTankModel Context triple: [IDF Armored Corps, primaryTankModel, Merkava]
-
A.
primaryTankerModel
chosen
Indicates that one entity is the main or standard tanker model associated with another entity (such as a product line, fleet, or organization).
-
B.
mainTankName
Indicates that the subject entity has the specified name as its primary or main tank designation.
-
C.
mainTankCapacity
Indicates the maximum volume of fuel or liquid that the primary tank is designed to hold.
-
D.
mainTankFeature
Indicates that a feature is the primary or defining characteristic of a tank in the given context.
-
E.
fuelTankType
Indicates the specific type or configuration of fuel tank associated with an entity.
- F. None of above.
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_69f76df54bac8190bd0d3b0eb35cda5f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3836afd3b0819098091aeea9153b40 |
completed | June 21, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.