Triple
T15445816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laguna Pueblo |
E370018
|
entity |
| Predicate | nearbyCommunity |
P4647
|
FINISHED |
| Object |
Paguate
Paguate is a small Native American community associated with the Laguna Pueblo in New Mexico.
|
E1158259
|
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: Paguate | Statement: [Laguna Pueblo, nearbyCommunity, Paguate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paguate Context triple: [Laguna Pueblo, nearbyCommunity, Paguate]
-
A.
Bayar
Bayar is a Turkish surname most prominently associated with Celâl Bayar, the third President of Turkey and a key political figure in the early Turkish Republic.
-
B.
Paguemen
Paguemen is an alternative transliteration of the name Pagumen, which refers to the thirteenth month in the Ethiopian calendar.
-
C.
Pagumen
Pagumen is the short additional thirteenth month in the Ethiopian calendar used to align the year with the solar cycle.
-
D.
La Payunia
La Payunia is an extensive volcanic field in Argentina renowned for its numerous cinder cones, lava flows, and striking black volcanic landscapes.
-
E.
Sumaré
Sumaré is a municipality in southeastern Brazil located in the interior region of the state of São Paulo, known for its industrial activity and integration into the Campinas metropolitan area.
- 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: Paguate Triple: [Laguna Pueblo, nearbyCommunity, Paguate]
Generated description
Paguate is a small Native American community associated with the Laguna Pueblo in New Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paguate Target entity description: Paguate is a small Native American community associated with the Laguna Pueblo in New Mexico.
-
A.
Bayar
Bayar is a Turkish surname most prominently associated with Celâl Bayar, the third President of Turkey and a key political figure in the early Turkish Republic.
-
B.
Paguemen
Paguemen is an alternative transliteration of the name Pagumen, which refers to the thirteenth month in the Ethiopian calendar.
-
C.
Pagumen
Pagumen is the short additional thirteenth month in the Ethiopian calendar used to align the year with the solar cycle.
-
D.
La Payunia
La Payunia is an extensive volcanic field in Argentina renowned for its numerous cinder cones, lava flows, and striking black volcanic landscapes.
-
E.
Sumaré
Sumaré is a municipality in southeastern Brazil located in the interior region of the state of São Paulo, known for its industrial activity and integration into the Campinas metropolitan area.
- F. None of above. chosen
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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef666e08190a02a01a676306ab9 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21adb6b88190b573068bda223892 |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff25abb8fc8190b1a6dc0b5ba8ccd7 |
completed | May 9, 2026, 12:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff262390f48190b4917926b493b16d |
completed | May 9, 2026, 12:18 p.m. |
Created at: April 10, 2026, 3:21 a.m.