Triple
T10246653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Raza |
E240231
|
entity |
| Predicate | lineSectionOpening |
P37968
|
FINISHED |
| Object | Line 3: Tlatelolco–La Raza section |
—
|
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: Line 3: Tlatelolco–La Raza section | Statement: [La Raza, lineSectionOpening, Line 3: Tlatelolco–La Raza section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineSectionOpening Context triple: [La Raza, lineSectionOpening, Line 3: Tlatelolco–La Raza section]
-
A.
lineOpeningContext
Indicates the contextual situation or circumstances present at the moment a line (e.g., of dialogue, text, or code) begins.
-
B.
isOpeningSectionOf
Indicates that one content segment functions as the initial or introductory section of another, larger work or structure.
-
C.
lineOpeningPhase
Indicates the phase or stage during which a line (such as a service, process, or system) is initially opened or brought into operation.
-
D.
originalLineOpened
chosen
Indicates that a transportation or service line began its initial operation or was first opened for use.
-
E.
openedSectionBetween
Indicates that one entity has created or established an open section, gap, or interval between itself and another entity.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d328272c8190a3548d7f7f38cfc4 |
completed | April 7, 2026, 9:49 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ebd6c88190a1f3f4a72a99d6fe |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:27 a.m.