Triple
T19031697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Union |
E465754
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Pugo
Pugo is a small inland municipality in the Philippine province of La Union, known for its mountainous landscapes and eco-tourism attractions.
|
E1354808
|
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: Pugo | Statement: [La Union, hasMunicipality, Pugo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pugo Context triple: [La Union, hasMunicipality, Pugo]
-
A.
Pugo
Pugo is a Latvian surname most notably borne by Boris Pugo, a Soviet politician and security official involved in the 1991 August Coup.
-
B.
Guga
Guga is the popular nickname of Brazilian former tennis star Gustavo Kuerten, a three-time French Open champion known for his charismatic personality and clay-court prowess.
-
C.
Pupput
Pupput is an ancient Roman-era archaeological site and former town located near modern Hammamet on the coast of eastern Tunisia.
-
D.
Babra
Babra is a town in the Amreli district of Gujarat, India, known as a local commercial and administrative center for the surrounding rural region.
-
E.
Baggi
Baggi is a settlement in Himachal Pradesh, India, known as the endpoint of the Pandoh–Baggi water diversion tunnel used for hydropower and irrigation.
- 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: Pugo Triple: [La Union, hasMunicipality, Pugo]
Generated description
Pugo is a small inland municipality in the Philippine province of La Union, known for its mountainous landscapes and eco-tourism attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pugo Target entity description: Pugo is a small inland municipality in the Philippine province of La Union, known for its mountainous landscapes and eco-tourism attractions.
-
A.
Pugo
Pugo is a Latvian surname most notably borne by Boris Pugo, a Soviet politician and security official involved in the 1991 August Coup.
-
B.
Guga
Guga is the popular nickname of Brazilian former tennis star Gustavo Kuerten, a three-time French Open champion known for his charismatic personality and clay-court prowess.
-
C.
Pupput
Pupput is an ancient Roman-era archaeological site and former town located near modern Hammamet on the coast of eastern Tunisia.
-
D.
Babra
Babra is a town in the Amreli district of Gujarat, India, known as a local commercial and administrative center for the surrounding rural region.
-
E.
Baggi
Baggi is a settlement in Himachal Pradesh, India, known as the endpoint of the Pandoh–Baggi water diversion tunnel used for hydropower and irrigation.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7410dd08190b08a7c0a2b8d67f3 |
completed | April 20, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05be59f0088190ae133c2d12beb2c0 |
completed | May 14, 2026, 12:21 p.m. |
| NEDg | Description generation | batch_6a05bf20c800819084e54a34574cb630 |
completed | May 14, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05bf8bd1cc8190a67b98eb43b4d850 |
completed | May 14, 2026, 12:26 p.m. |
Created at: April 10, 2026, 12:02 p.m.