Triple
T2413351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Templo Mayor |
E52244
|
entity |
| Predicate | hasMultiplePhases |
P37745
|
FINISHED |
| Object | seven major construction stages |
—
|
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: seven major construction stages | Statement: [Templo Mayor, hasMultiplePhases, seven major construction stages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultiplePhases Context triple: [Templo Mayor, hasMultiplePhases, seven major construction stages]
-
A.
hasMultipleVersions
Indicates that an entity exists in more than one distinct version or revision.
-
B.
hasPhaseRelation
Indicates that two entities are related by a specific phase difference or phase alignment in time or a cyclical process.
-
C.
hasMultipleLevels
Indicates that something is organized into more than one hierarchical or structural level.
-
D.
hasMultipleSegments
Indicates that the referenced entity is composed of more than one distinct segment or section.
-
E.
hasWarmPhase
Indicates that an entity undergoes or includes a period characterized by relatively higher temperatures or warmer conditions.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc94a6458819087b8c4fe81a2d031 |
completed | March 7, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69abc5a6cbd0819086c0716e266b7ebb |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6011e348190b6f9c038c7559289 |
completed | March 7, 2026, 6:30 a.m. |
Created at: March 6, 2026, 9:41 p.m.