Triple
T3898782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zambales |
E90435
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
San Narciso
San Narciso is a coastal municipality in the province of Zambales in the Philippines, known for its surfing beaches and laid-back rural atmosphere.
|
E398206
|
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: San Narciso | Statement: [Zambales, hasMunicipality, San Narciso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Narciso Context triple: [Zambales, hasMunicipality, San Narciso]
-
A.
San Narciso
San Narciso is a fictional Southern California town in Thomas Pynchon’s novel "The Crying of Lot 49," emblematic of postwar suburban sprawl and hidden conspiratorial networks.
-
B.
Le Niêsant
Le Niêsant is a small islet within the Les Minquiers reef and island group in the Channel Islands, known for its remote, tidal environment.
-
C.
Espinosa
Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
-
D.
Plácido
Plácido is the given name of the renowned Spanish operatic tenor and conductor Plácido Domingo.
-
E.
Nolano
Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
- 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: San Narciso Triple: [Zambales, hasMunicipality, San Narciso]
Generated description
San Narciso is a coastal municipality in the province of Zambales in the Philippines, known for its surfing beaches and laid-back rural atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Narciso Target entity description: San Narciso is a coastal municipality in the province of Zambales in the Philippines, known for its surfing beaches and laid-back rural atmosphere.
-
A.
San Narciso
San Narciso is a fictional Southern California town in Thomas Pynchon’s novel "The Crying of Lot 49," emblematic of postwar suburban sprawl and hidden conspiratorial networks.
-
B.
Le Niêsant
Le Niêsant is a small islet within the Les Minquiers reef and island group in the Channel Islands, known for its remote, tidal environment.
-
C.
Espinosa
Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
-
D.
Plácido
Plácido is the given name of the renowned Spanish operatic tenor and conductor Plácido Domingo.
-
E.
Nolano
Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecefa3608190a7a20ed6df6a64b2 |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51ca0f72c819084726f631a947f8c |
completed | March 14, 2026, 8:30 a.m. |
| NEDg | Description generation | batch_69b5207c0cfc8190aae16e8a88348679 |
completed | March 14, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b52163bf888190b38f87d22ecd200e |
completed | March 14, 2026, 8:50 a.m. |
Created at: March 9, 2026, 3:21 p.m.