Triple
T4737137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Dorylaeum (1097) |
E105151
|
entity |
| Predicate | approximateTurkishStrength |
P2981
|
FINISHED |
| Object | tens of thousands of mounted warriors |
—
|
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 mounted warriors | Statement: [Battle of Dorylaeum (1097), approximateTurkishStrength, tens of thousands of mounted warriors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateTurkishStrength Context triple: [Battle of Dorylaeum (1097), approximateTurkishStrength, tens of thousands of mounted warriors]
-
A.
nameInTurkish
Indicates that an entity is known or referred to by a specific name in the Turkish language.
-
B.
hasPopulationRankInTurkey
Indicates the relative position of an entity in the ordered list of populations within Turkey, such as its rank by population size compared to other entities in the country.
-
C.
languageNameInTurkish
Indicates that the predicate specifies the name of a given language as it is written or spoken in Turkish.
-
D.
estimatedStrength
chosen
Indicates that a value represents an approximate or inferred level, magnitude, or intensity of something rather than a precisely measured strength.
-
E.
numberOfTurkishCups
Indicates the quantity of Turkish cups associated with or involved in a given 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64844b7081909c9d36e4b461379e |
completed | March 20, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69bd6221c3b881908604f35f8de6f16b |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:19 p.m.