Triple
T10327586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanao del Norte |
E242798
|
entity |
| Predicate | separatedFrom |
P243
|
FINISHED |
| Object |
Lanao
Lanao was a former province in the Philippines on the island of Mindanao that was later divided into Lanao del Norte and Lanao del Sur.
|
E856131
|
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: Lanao | Statement: [Lanao del Norte, separatedFrom, Lanao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanao Context triple: [Lanao del Norte, separatedFrom, Lanao]
-
A.
Sarangani
Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
-
B.
Malabanias
Malabanias is a barangay (village-level administrative district) within Angeles City in Pampanga, Philippines, known for its mixed residential, commercial, and entertainment areas.
-
C.
Karagawan
Karagawan is a regional dialect of the Isnag language spoken by the Isnag people of northern Luzon in the Philippines.
-
D.
Samarlakota
Samarlakota is a town in the Indian state of Andhra Pradesh known for its historic temples and regional cultural significance.
-
E.
Iranun of Mindanao
Iranun of Mindanao is a dialect of the Iranun language spoken by the Iranun people in the Mindanao region of the southern Philippines.
- 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: Lanao Triple: [Lanao del Norte, separatedFrom, Lanao]
Generated description
Lanao was a former province in the Philippines on the island of Mindanao that was later divided into Lanao del Norte and Lanao del Sur.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lanao Target entity description: Lanao was a former province in the Philippines on the island of Mindanao that was later divided into Lanao del Norte and Lanao del Sur.
-
A.
Sarangani
Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
-
B.
Malabanias
Malabanias is a barangay (village-level administrative district) within Angeles City in Pampanga, Philippines, known for its mixed residential, commercial, and entertainment areas.
-
C.
Karagawan
Karagawan is a regional dialect of the Isnag language spoken by the Isnag people of northern Luzon in the Philippines.
-
D.
Samarlakota
Samarlakota is a town in the Indian state of Andhra Pradesh known for its historic temples and regional cultural significance.
-
E.
Iranun of Mindanao
Iranun of Mindanao is a dialect of the Iranun language spoken by the Iranun people in the Mindanao region of the southern Philippines.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cf21e08190bf605daeea0d9dcf |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71dafa9308190ae0d3c34ba0c58b1 |
completed | April 9, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69d73189d7cc8190b81bb30994b3900f |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7329891688190b5c1ec5906728f01 |
completed | April 9, 2026, 5:01 a.m. |
Created at: April 6, 2026, 11:51 a.m.