Triple
T12724278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalinga |
E304063
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Pasil
Pasil is a rural municipality in the mountainous province of Kalinga in the Philippines, known for its indigenous communities and rice-terraced landscapes.
|
E1000979
|
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: Pasil | Statement: [Kalinga, hasMunicipality, Pasil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pasil Context triple: [Kalinga, hasMunicipality, Pasil]
-
A.
Pasi
Pasi is a subgroup or subset within the larger group or category referred to as Adi.
-
B.
Paskhas
Paskhas is the Indonesian Air Force’s elite special forces corps, specializing in airfield security, airborne operations, and air defense missions.
-
C.
Passu
Passu is a picturesque village in northern Pakistan’s Gilgit-Baltistan region, renowned for its dramatic mountain scenery, including the Passu Cones, and its location along the Karakoram Highway.
-
D.
Pasamalar
Pasamalar is a classic 1961 Tamil drama film renowned for its emotional portrayal of the deep bond between a brother and sister.
-
E.
Passirio
Passirio is a river in northern Italy that flows through the province of South Tyrol before joining the Adige.
- 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: Pasil Triple: [Kalinga, hasMunicipality, Pasil]
Generated description
Pasil is a rural municipality in the mountainous province of Kalinga in the Philippines, known for its indigenous communities and rice-terraced landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pasil Target entity description: Pasil is a rural municipality in the mountainous province of Kalinga in the Philippines, known for its indigenous communities and rice-terraced landscapes.
-
A.
Pasi
Pasi is a subgroup or subset within the larger group or category referred to as Adi.
-
B.
Paskhas
Paskhas is the Indonesian Air Force’s elite special forces corps, specializing in airfield security, airborne operations, and air defense missions.
-
C.
Passu
Passu is a picturesque village in northern Pakistan’s Gilgit-Baltistan region, renowned for its dramatic mountain scenery, including the Passu Cones, and its location along the Karakoram Highway.
-
D.
Pasamalar
Pasamalar is a classic 1961 Tamil drama film renowned for its emotional portrayal of the deep bond between a brother and sister.
-
E.
Passirio
Passirio is a river in northern Italy that flows through the province of South Tyrol before joining the Adige.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964148f988190a4d0e7b41614fa64 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c85c6b88190bbdd94a43915a7a4 |
completed | May 2, 2026, 10:36 p.m. |
| NEDg | Description generation | batch_69f67d888d7c8190b9aaeb877984a403 |
completed | May 2, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67e0f48e4819085905564f5540f37 |
completed | May 2, 2026, 10:43 p.m. |
Created at: April 9, 2026, 5:25 p.m.