Triple
T16986786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Nahrawan |
E412087
|
entity |
| Predicate | approximateStrengthAliForces |
P2981
|
FINISHED |
| Object | several thousand troops |
—
|
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: several thousand troops | Statement: [Battle of Nahrawan, approximateStrengthAliForces, several thousand troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateStrengthAliForces Context triple: [Battle of Nahrawan, approximateStrengthAliForces, several thousand troops]
-
A.
approximateEnemyStrength
Indicates estimating the opposing side’s combat capabilities or power level, typically based on available but potentially incomplete information.
-
B.
totalStrength
Indicates the overall magnitude or combined level of strength associated with an entity or group of entities.
-
C.
estimatedStrength
chosen
Indicates that a value represents an approximate or inferred level, magnitude, or intensity of something rather than a precisely measured strength.
-
D.
approximateRebelStrength
Indicates an estimation of the size or capability of rebel forces rather than an exact measured strength.
-
E.
attackingForceApprox
Indicates that one entity is the approximate attacking force, in terms of size or strength, relative to another entity or context.
- F. None of above.
Provenance (3 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d27b58908190a643bcbd105b1849 |
completed | April 18, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.