Triple
T27182065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinum Municipality |
E683220
|
entity |
| Predicate | hasArchaeologicalTourism |
P173353
|
FINISHED |
| Object | Chichén Itzá tourism |
—
|
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: Chichén Itzá tourism | Statement: [Tinum Municipality, hasArchaeologicalTourism, Chichén Itzá tourism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArchaeologicalTourism Context triple: [Tinum Municipality, hasArchaeologicalTourism, Chichén Itzá tourism]
-
A.
hasArchitecturalSite
Indicates that an entity possesses, contains, or is associated with a specific architectural site.
-
B.
hasArchaeologicalParkStatus
Indicates that an entity has been officially designated and recognized as an archaeological park.
-
C.
hasArchaeologicalCulture
Indicates that an entity is associated with, belongs to, or is characterized by a particular archaeological culture.
-
D.
hasArchaeologicalExcavationsBy
Indicates that archaeological excavations at a site or location are or were conducted by a specified person, group, or organization.
-
E.
hasArchaeologicalSitesFrom
Indicates that an entity contains or is associated with archaeological sites dating from a specified time period or era.
- 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_69eefad140408190b8586fdebcf9af46 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: April 27, 2026, 9:28 a.m.