Triple
T7734662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinum, Yucatán |
E175349
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Xcalakoop Santa Elena
Xcalakoop Santa Elena is a locality within the municipality of Tinum in the Mexican state of Yucatán.
|
E685005
|
NE FINISHED |
How this triple was built (4 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: Xcalakoop Santa Elena | Statement: [Tinum, Yucatán, contains, Xcalakoop Santa Elena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xcalakoop Santa Elena Context triple: [Tinum, Yucatán, contains, Xcalakoop Santa Elena]
-
A.
San Miguelito
San Miguelito is a municipality located within the Francisco Morazán Department of Honduras.
-
B.
Xcalakoop San Andrés
Xcalakoop San Andrés is a locality within the municipality of Tinum in the Mexican state of Yucatán.
-
C.
Puerto Bandera
Puerto Bandera is a small port settlement in Argentine Patagonia that serves as a primary departure point for boat excursions to the famous Upsala Glacier and other attractions in Los Glaciares National Park.
-
D.
Puerto Octay
Puerto Octay is a small Chilean town in the Los Lagos Region, known for its German-influenced architecture, scenic views, and tourism centered around nearby lakes and volcanoes.
-
E.
El Carmen
El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí Province.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Xcalakoop Santa Elena Triple: [Tinum, Yucatán, contains, Xcalakoop Santa Elena]
Generated description
Xcalakoop Santa Elena is a locality within the municipality of Tinum in the Mexican state of Yucatán.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xcalakoop Santa Elena Target entity description: Xcalakoop Santa Elena is a locality within the municipality of Tinum in the Mexican state of Yucatán.
-
A.
San Miguelito
San Miguelito is a municipality located within the Francisco Morazán Department of Honduras.
-
B.
Xcalakoop San Andrés
chosen
Xcalakoop San Andrés is a locality within the municipality of Tinum in the Mexican state of Yucatán.
-
C.
Puerto Bandera
Puerto Bandera is a small port settlement in Argentine Patagonia that serves as a primary departure point for boat excursions to the famous Upsala Glacier and other attractions in Los Glaciares National Park.
-
D.
Puerto Octay
Puerto Octay is a small Chilean town in the Los Lagos Region, known for its German-influenced architecture, scenic views, and tourism centered around nearby lakes and volcanoes.
-
E.
El Carmen
El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí Province.
- F. None of above.
Provenance (5 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70339c4b481909a56ae13f501e794 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8d6b1f7648190a0e2fd82ecb9c8b9 |
completed | March 29, 2026, 7:37 a.m. |
| NEDg | Description generation | batch_69c8d73968ec81908586ccdf4118db56 |
completed | March 29, 2026, 7:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8d825d3fc8190a98879a4790aafcd |
completed | March 29, 2026, 7:43 a.m. |
Created at: March 27, 2026, 4:06 p.m.