Triple
T2821156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monolith of Tlaloc |
E54811
|
entity |
| Predicate | transportedToCurrentLocation |
P1660
|
FINISHED |
| Object | 1964 |
—
|
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: 1964 | Statement: [Monolith of Tlaloc, transportedToCurrentLocation, 1964]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportedToCurrentLocation Context triple: [Monolith of Tlaloc, transportedToCurrentLocation, 1964]
-
A.
openedAtCurrentLocation
Indicates that an entity has been opened or initiated at the user’s or system’s current physical or contextual location.
-
B.
relocatedTo
chosen
Indicates that an entity has moved or been transferred from its previous location to a new specified location.
-
C.
transportedOver
Indicates that something is moved or carried across or along a specified medium, route, or surface.
-
D.
wentTo
Indicates that one entity traveled or moved from its original location to another specified place.
-
E.
bodyTakenTo
Indicates that a deceased person's body is transported or moved to a particular location.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abdf15b7288190a03d1193cc0544a6 |
completed | March 7, 2026, 8:17 a.m. |
| PD | Predicate disambiguation | batch_69abdd08f2f481908c3da8a9c7a00552 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.