Triple
T25875405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moctezuma |
E651882
|
entity |
| Predicate | systemStartLine |
P165832
|
FINISHED |
| Object | one of the original stations of Line 1 |
—
|
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: one of the original stations of Line 1 | Statement: [Moctezuma, systemStartLine, one of the original stations of Line 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: systemStartLine Context triple: [Moctezuma, systemStartLine, one of the original stations of Line 1]
-
A.
startingSystem
Indicates the system or context from which an action, process, or transition is initially begun.
-
B.
isFirstLineOfSystem
Indicates that one entity is the initial or starting line within a defined system or system representation.
-
C.
systemEntry
Indicates that an entity is being recorded, registered, or introduced into a particular system or structured environment.
-
D.
systemName
Indicates that an entity has a specific system-level name or identifier assigned to it.
-
E.
productLineStart
Indicates the point in time or position at which a particular product line begins or is first introduced.
- 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_69e7ab3ad9d88190841ddcb93ab02e96 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65a9cb0bc8190bf8a9b319900bad5 |
completed | May 2, 2026, 8:12 p.m. |
Created at: April 22, 2026, 8:12 a.m.