Triple
T30699608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torre Libertad (The Ritz-Carlton Mexico City) |
E781574
|
entity |
| Predicate | addressStreet |
P606
|
FINISHED |
| Object | Paseo de la Reforma |
—
|
NE NERFINISHED |
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: Paseo de la Reforma | Statement: [Torre Libertad (The Ritz-Carlton Mexico City), addressStreet, Paseo de la Reforma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addressStreet Context triple: [Torre Libertad (The Ritz-Carlton Mexico City), addressStreet, Paseo de la Reforma]
-
A.
streetAddress
chosen
Indicates the specific location of an entity in terms of its numbered building and street name within a postal address.
-
B.
address
Indicates that one entity directs spoken or written communication specifically to another entity.
-
C.
streetAddressNow
Indicates that an entity’s current street address is the specified location.
-
D.
addressRepresents
Indicates that one address stands for, corresponds to, or serves as the official representation of another entity or location.
-
E.
addressComponents
Indicates how an address is broken down into its constituent parts or fields (such as street, city, state, and postal code) and how those parts relate to the overall address.
- 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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6b967d5308190bbb66d0a8dd52612 |
completed | May 3, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 29, 2026, 8:34 p.m.