Triple
T421450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pentagon Memorial |
E8110
|
entity |
| Predicate | benchCount |
P14729
|
FINISHED |
| Object | 184 |
—
|
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: 184 | Statement: [Pentagon Memorial, benchCount, 184]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benchCount Context triple: [Pentagon Memorial, benchCount, 184]
-
A.
arrowCount
Indicates the number of arrows associated with or involved in a given entity or interaction.
-
B.
shaftCount
Indicates the number of shafts associated with or contained in an object or system.
-
C.
branchCount
Indicates the number of branches associated with a given entity or structure.
-
D.
numberOfPettyBenches
Indicates the quantity of petty benches associated with or present in relation to a given entity.
-
E.
hasNumberOfPins
Indicates that an entity is associated with a specific count of pins it possesses or uses.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eec0e9dc81908c08b209ce5278ef |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edd3b948819097d96c73d0a0f699 |
completed | Feb. 28, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69a2eeb8545c8190a2b8517e7ed5b92e |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.