Triple
T3507490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2023 Dallas mayoral election |
E74110
|
entity |
| Predicate | positionTermLength |
P48410
|
FINISHED |
| Object | 4 years |
—
|
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: 4 years | Statement: [2023 Dallas mayoral election, positionTermLength, 4 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionTermLength Context triple: [2023 Dallas mayoral election, positionTermLength, 4 years]
-
A.
positionTerm
Indicates that one entity holds, is assigned, or is described by a specific role, title, or positional designation in relation to another entity.
-
B.
headTermLength
Indicates that a term (such as a word or phrase) has a specified length, typically measured in characters or tokens.
-
C.
wordLength
Indicates that there is a relationship specifying the number of characters (length) in a given word.
-
D.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
E.
identifierLength
Indicates the length or number of characters in an entity’s identifier.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc0b635c81909bc95ba2562d8f94 |
completed | March 8, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69adae0e770481908528fa35eda53003 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adaed74ecc8190b74dc70ab59a3e1c |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:18 p.m.