Triple
T35368611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embassy of the Philippines in New Delhi |
E1021705
|
entity |
| Predicate | offersProtectionTo |
P74614
|
FINISHED |
| Object | overseas Filipino workers in India |
—
|
LITERAL FINISHED |
How this triple was built (2 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: overseas Filipino workers in India | Statement: [Embassy of the Philippines in New Delhi, offersProtectionTo, overseas Filipino workers in India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersProtectionTo Context triple: [Embassy of the Philippines in New Delhi, offersProtectionTo, overseas Filipino workers in India]
-
A.
providesProtectionIn
chosen
Indicates that one entity offers protection or safeguarding to another entity within a specified context, location, or situation.
-
B.
protectsEligibilityFor
Indicates that one entity preserves or safeguards another entity’s qualification or right to receive a particular benefit, status, or opportunity.
-
C.
providesProtectionAgainst
Indicates that one entity serves to guard, shield, or defend another entity from a specified harm, threat, or adverse effect.
-
D.
protectedBy
Indicates that one entity provides protection, defense, or safeguarding for another entity.
-
E.
offersServiceTo
Indicates that one entity provides or makes a service available for the benefit or use of another entity.
- F. None of above.
Provenance (3 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_69f76df000488190ab7c97f565677055 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
Created at: May 3, 2026, 4:03 p.m.