Triple
T2607790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long March |
E58701
|
entity |
| Predicate | numberOfForcesAtStart |
P41216
|
FINISHED |
| Object | tens of thousands of Red Army soldiers |
—
|
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: tens of thousands of Red Army soldiers | Statement: [Long March, numberOfForcesAtStart, tens of thousands of Red Army soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfForcesAtStart Context triple: [Long March, numberOfForcesAtStart, tens of thousands of Red Army soldiers]
-
A.
engagedForces
Indicates that one force has actively committed or deployed its military units against another force in combat or operational interaction.
-
B.
includedForcesFrom
Indicates that one set of forces is derived from, or incorporated within, another set of forces.
-
C.
inForceIn
Indicates that a rule, law, agreement, or condition is currently valid and operative within a specified jurisdiction, context, or time frame.
-
D.
opposingForcesStatus
Indicates the current state or condition of two or more forces that are in conflict or opposition to each other.
-
E.
strategicPartnerForces
Indicates a formal alliance in which one force provides coordinated military or security support to another as part of a shared strategic objective.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8def9bc8190b2e013abffc7b191 |
completed | March 7, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69abd80ab7248190ba06ba14fe4c5638 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8dd05c48190b4f90031642c4091 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:49 p.m.